Change Healthcare has been granted a patent for a computer-implemented method that involves labeling records in a database, receiving observations from labeling entities, aggregating observations, updating records, training an AI system, evaluating AI model accuracy, and prioritizing records for labeling based on AI model accuracy. GlobalData’s report on Change Healthcare gives a 360-degree view of the company including its patenting strategy. Buy the report here.

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According to GlobalData’s company profile on Change Healthcare, was a key innovation area identified from patents. Change Healthcare's grant share as of February 2024 was 50%. Grant share is based on the ratio of number of grants to total number of patents.

Database record labeling and ai model training prioritization method

Source: United States Patent and Trademark Office (USPTO). Credit: Change Healthcare Inc

A recently granted patent (Publication Number: US11893459B1) outlines a computer-implemented method that involves identifying, verifying, and presenting records in a database for labeling. The method includes receiving observations from labeling entities, aggregating these observations, updating the records in the database, training an Artificial Intelligence (AI) system, evaluating the AI model's accuracy, prioritizing records for labeling based on this accuracy, and presenting records to labeling entities accordingly. The observations can include validation, bounding box, text highlight, classification, free text transcription, and meta-information types, catering to various data sources and regulatory constraints.

The patent also covers a system and a computer program product that execute the same operations as the method described above. The system comprises processors and memory with computer-readable program code, while the computer program product includes a non-transitory computer-readable storage medium with executable program code. Both the system and the computer program product are designed to facilitate the efficient labeling of records in a database, training of AI models, and prioritization of records based on AI model accuracy. The method, system, and computer program product aim to streamline data labeling processes, particularly in handling Protected Health Information (PHI) under regulatory constraints like the Health Insurance Portability and Accountability Act (HIPAA). The use of unstructured databases, such as NoSQL or UnSQL databases, and JavaScript Object Notation (JSON) format for records further enhances the flexibility and scalability of the labeling process.

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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies